A growing awareness of the lack of reproducibility has undermined society’s trust and esteem in social sciences. In some cases, well-known results have been fabricated or the underlying data have turned out to have weak technical foundations. Read more
Springer Nature has responded to the US National Institutes of Health’s request for information (RFI) on Strategies for NIH Data Management, Sharing, and Citation. Our detailed response covers a multitude of issues on barriers to and incentives for sharing data and software that support published research. Read more
Guest post by Xi-Nian Zuo, Project Coordinator and Co-Founder of Consortium for Reliability and Reproducibility (CoRR), Professor of Psychology and Director of the Magnetic Resonance Imaging Research Center in the Institute of Psychology at Chinese Academy of Sciences, China. Read more
Manuscripts published at Scientific Data contain a ‘Data Citations’ section that helps authors formally acknowledge any datasets mentioned in their manuscript. We know that this section is unfamiliar to many of our authors, so here we provide some background on the purpose of data citations, and advice on completing this section when submitting to Scientific Data. Read more
Last month Scientific Data was all about Japan, with the Research Data Alliance (RDA) Seventh Plenary Meeting in Tokyo, and the Scientific Data Japan Roadshow stopping off in Yokohama, Mishima, Fukuoka, Tokyo, Kyoto, Kobe and Tsukuba. Read more
Next week the Research Data Alliance (RDA) Seventh Plenary Meeting will take place in Tokyo, Japan. Data experts from all over the world will gather in Tokyo, marking this as an excellent opportunity for those wishing to learn about open research data and the open science landscape, especially in Japan. Before the RDA, the Japan Science and Technology Agency is organizing The Data Sharing Symposium, and afterward the Confederation of Open Access Repositories (COAR) along with the National Institute of Informatics, are co-organizing the Asian Open Access Meeting. Read more
Since it’s inception, Scientific Data has been working to encourage a “show me the data” culture, with the aim of publishing Data Descriptors on fully reusable datasets. Datasets can only be used if data have been rigorously described; as recently shown, even when journal policies on data archiving are strong, data are not always shared in a reusable manner¹. Read more
This week, we updated our data repository recommendations to clarify our existing support for institutional repositories. We have also made it easier for authors using these resources to submit manuscripts to Scientific Data. Read more
Scientific Data editors share their top tips for usefully sharing code within a publication, and invite readers to contribute their thoughts to the Twitter hashtag #codesharetips. Read more